This talk is about creating a simple end interface for running your machine learning code. Anand is the co-founder of https://rorodata.com/ a Platform-as-a-Service, designed for data scientists, for running machine learning code. Machine learning libraries that were mentioned that I had not come across before: PyTorch – https://pytorch.org/ – a deep learning framework for fast, flexible experimentation. joblib – https://pypi.org/project/joblib/ – is a set […]

If your system allows a user interaction, say a chat function, ensure you can block people. Gave an example about a payment platform which was abused to harass an ex. How to build services to reduce being open to abuse online. # Diversify the team Interestingly you cannot change your name in the history of git say. # Real name […]

I am lucky enough to be back at PyCon UK again this year, https://2018.pyconuk.org/. Lots of talks, workshops and there are sprints to follow. One of the most inclusive and friendly technical conferences I have ever attended, I am glad to be back again this year. I will be adding write ups for the sessions I attend here: https://asset.blogs.bris.ac.uk/tag/pyconuk2018/

Speaker: Dr Margriet Groenendijk from IDM Margriet is a tech enthusiast at IBM and gave a lightning talk at the Django Bristol Bath meetup as well. Slides are online here: https://www.slideshare.net/PoleSystematicParisRegion/a-beginners-guide-to-weather-climate-data-margriet-groenendijk This talk is about using Jupyter notebooks, https://jupyter.org/, for data analysis and visualisations. NB: These can be run on the desktop and is available in the cloud as well. Libraries Margriet has […]

Code in this talk can be found here https://github.com/halidebey/PyCon2018 Speaker made use of this tool, Kaggle – https://www.kaggle.com/ – the place to do data science projects. Speaker refers to this source of data Data For Everyone Discussed the approaches to machine learning supervised/non supervised Ignoring parts of your dataset interesting Python libraries – pandas – https://pypi.org/project/pandas/ and nltk – https://pypi.org/project/nltk/ sklearn (superseded […]